ORIGINAL RESEARCH article

Front. Oncol., 15 June 2023

Sec. Head and Neck Cancer

Volume 13 - 2023 | https://doi.org/10.3389/fonc.2023.1111764

Stroke death in patients receiving radiation for head and neck cancer in the modern era

  • 1. Department of Neurology, University of Rochester Medical Center, Rochester, NY, United States

  • 2. Department of Radiation Oncology, University of Rochester Medical Center, Rochester, NY, United States

  • 3. Department of Clinical and Translational Research, University of Rochester Medical Center, School of Medicine and Dentistry, Rochester, NY, United States

  • 4. Department of Biostatistics and Computational Biology, University of Rochester Medical Center, School of Medicine and Dentistry, Rochester, NY, United States

  • 5. Department of Surgery, Cancer Control, University of Rochester Medical Center School of Medicine and Dentistry, Rochester, NY, United States

  • 6. Wilmot Cancer Center, University of Rochester Medical Center, Rochester, NY, United States

  • 7. Department of Neuroscience, University of Rochester Medical Center, School of Medicine and Dentistry, Rochester, NY, United States

Abstract

Objectives:

Head and neck cancer is a common malignancy frequently treated with chemotherapy and radiotherapy. Studies have shown an increased risk of stroke with the receipt of radiotherapy, but data on stroke-related mortality are limited, particularly in the modern era. Evaluating stroke mortality related to radiotherapy is vital given the curative nature of head and neck cancer treatment and the need to understand the risk of severe stroke in this population.

Methods:

We analyzed the risk of stroke death among 122,362 patients (83,651 patients who received radiation and 38,711 patients who did not) with squamous cell carcinoma of the head and neck (HNSCC) diagnosed between 1973 and 2015 in the SEER database. Patients in radiation vs. no radiation groups were matched using propensity scores. Our primary hypothesis was that radiotherapy would increase the hazard of death from stroke. We also examined other factors impacting the hazard of stroke death, including whether radiotherapy was performed during the modern era when IMRT and modern stroke care were available as well as increased HPV-mediated cancers of the head and neck. We hypothesized that the hazard of stroke death would be less in the modern era.

Results:

There was an increased hazard of stroke-related death in the group receiving radiation therapy (HR 1.203, p = 0.006); however, this was a very small absolute increase, and the cumulative incidence function of stroke death was significantly reduced in the modern era (p < 0.001), cohorts with chemotherapy (p=0.003), males (p=0.002), younger cohorts (p<0.001) and subsites other than nasopharynx (p=0.025).

Conclusions:

While radiotherapy for head and neck cancer increases the hazard of stroke death, this is reduced in the modern era and remains a very small absolute risk.

Introduction

Head and neck cancer is a common malignancy, accounting for about 900,000 new cancer diagnoses annually worldwide (1) and 66,000 in the United States (2). Over the last two decades, data from randomized trials have changed the treatment paradigm for head and neck cancer, emphasizing organ preservation using concurrent chemoradiation (3, 4). Radiation Therapy Oncology Group (RTOG) 91-11 demonstrated that concurrent chemoradiation significantly improved locoregional control and larynx preservation rates, leading to increased use of chemoradiation for larynx preservation and maintenance of swallowing function (5). Meta-analyses have confirmed the benefit of concurrent chemoradiation in this setting, supporting the widespread use of this paradigm (6, 7).

Multiple studies have noted increased carotid stenosis and stroke rates in patients with head and neck cancer who receive radiation therapy (813). However, strokes can range from small infarcts with little impact on quality of life to large strokes associated with significant morbidity and mortality. Stroke mortality is a major public health burden, ranked as the second leading cause of death worldwide, with an annual mortality rate of 5.5 million (14). Stroke mortality is an important metric to understand the impact of stroke on a patient population. However, there are little data on stroke mortality in head and neck cancer patients and whether radiotherapy impacts risk. Notably, long-term results from RTOG 91-11 showed increased deaths unrelated to cancer in patients who received concurrent chemoradiation (5). The potential contribution of stroke death to these deaths is unclear, particularly in the modern era, where multiple factors have changed, including radiation techniques and the patient population. It is unknown whether modern radiation methods impact the risk of death from stroke. However, recent data show that radiation dose impacts the risk of stroke (15), and IMRT for early-stage laryngeal cancer can be used to reduce radiation exposure of the carotid arteries (16). Additionally, studies have shown that a history of smoking is associated with increased risk of post-radiation carotid stenosis (17). Patients with HPV-mediated cancers, who can have little or no smoking history, may not experience the same degree of stroke risk after radiation therapy. Thus, the increasing incidence of HPV-mediated cancers of the head and neck (18, 19) could impact stroke risk after radiation treatment.

We analyzed the risk of stroke death in patients with head and neck cancer using the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) Program registries using a propensity score-matched competing risk analysis. Our primary hypothesis was that radiation treatment would increase the hazard of death from stroke in subjects with squamous cell cancer of the head and neck. We also examined other factors impacting the hazard of stroke death, including whether radiotherapy was performed during the era when IMRT and modern stroke care were available. We hypothesized that the hazard of stroke death would be decreased in the modern era.

Materials and methods

Data source and population

The SEER 18 registries were utilized to analyze frequency, treatment, and survival information for patients diagnosed with squamous cell carcinoma of the head and neck (HNSCC) between 1973 and 2015. The SEER 18 database includes data from 18 population-based cancer registries in 14 states, covering 28% of the United States population (20). Available data include patient demographics, primary tumor site, tumor size, regional and distant metastasis, treatment, and survival. Institutional review board approval was not required for this study as the SEER database is publicly available and omits patient identifiers.

The SEER*Stat 8.3.9 Software package (SEER, National Cancer Institute, MD, USA) was used to identify patients diagnosed with a primary cancer between 1973 and 2015 in the eighteen registries of the SEER program. Patients with HNSCC were defined using the International Classification of Diseases for Oncology, third edition (ICD-O-3), histology codes for squamous cell carcinoma (8070–8078), malignant histology, and subsite codes for head and neck cancer (tongue, salivary gland, floor of mouth, gum and other mouth, oropharynx, tonsil, hypopharynx, other oral cavity and pharynx, larynx, nose, nasal cavity, and inner ear, and nasopharynx).

Patients were excluded if they did not have histologic confirmation of HNSCC. The stage at presentation was categorized according to the SEER historic stage A codes as ‘localized’ (localized without lymph node involvement or distant metastases, N0M0), ‘regional’ (locally advanced or lymph node- positive without distant metastases, N+M0), or ‘distant’ (distant metastases, any N M1). Patients with distant disease were excluded. Patients were only included if morphology behavior code was malignant. Patients were also excluded if 1) it was unknown whether or not they underwent surgery; 2) they received only non-external beam radiation (radioisotopes, radioactive implants); 3) it was unknown if they received radiation or what type of radiotherapy; 4) there were no data on follow-up or survival time (and therefore no information on the primary outcome of stroke death); 5) patients had a prior malignant primary cancer; or 6) age at the time of diagnosis was <20 years (Figure 1).

Figure 1

Stroke-related death identification

Patients are categorized as alive or dead in the SEER database. Cause of death information is recorded and categorized into cancer-related and non-cancer-related cause of death. For our study, stroke death was defined as death from cerebrovascular diseases. For purposes of comparison, we also calculated rates of frequent causes of death in patients with head and neck cancer, including head and neck cancer death, other cancer death, cardiac death, chronic obstructive pulmonary disease (COPD) and allied conditions, pneumonia and influenza, suicide, all other known causes, and unknown causes.

Treatment and covariate categorization

A dichotomous variable was generated for modern era, defined as diagnosis between 2001 and 2015, compared to non-modern era, those diagnosed between 1973 and 2000; IMRT was first used in the late 1990s, but utilization by radiation oncology practices increased dramatically starting in 2001 (21). Additionally, in 1995, recombinant tissue plasminogen activator (tPA) was demonstrated in clinical trials to improve neurologic outcomes from ischemic stroke, a major advance in stroke treatment (22).

While the SEER database is de-identified, county-level data on the population percentage with at least a high school education and median household income are available. Therefore, these factors were evaluated since socioeconomic status may impact the risk of death from stroke.

Statistical analysis

Continuous variables are expressed as mean (+/- standard deviation; SD), while categorical variables are presented as absolute numbers and percentages. Homogeneity in both continuous and categorical variables between groups is assessed by standardized mean difference.

To minimize the selection bias for this cohort, propensity score matching (PSM) was used before estimating radiation effect on stroke-related survival with competing risk events (death due to other reasons). Logistic regression analysis with stepwise variable selection identified covariates associated with the use of radiation (P ≤ .05 for entry; P > .15 for removal). Next, logistic regression of radiotherapy assignment was modeled on selected baseline covariates (age, sex, race, marriage status, cancer grade and stage, and primary tumor site) that would otherwise confound comparisons between radiation groups to calculate propensity scores, which are the probabilities of getting radiation. Patients having radiation treatment and patients without radiation are matched using greedy nearest neighbor 1 to 1 matching (23). A standard caliper size of 0.5 difference between the logits of the propensity scores for the matched units was used. Standardized mean differences were estimated before and after matching to evaluate the balance of covariates; an absolute standardized mean difference less than or equal to 0.25 indicates a good variable balance between radiation groups (24, 25). The matched samples were used to explore the causal effect of radiation on stroke-related survival. The cumulative incidence function (CIF) of stroke-related death was generated using SAS version 9.4; deaths due to causes other than stroke were considered competing events. Gray’s test (26) was used to test the marginal effect (i.e., ignoring other predictors) of each potential predictor on stroke-related death. The proportional hazards assumption might not be appropriate for eras without IMRT use, despite the high significance of modern era use on CIF by Gray’s test (p < 0.001). Thus, the Fine and Gray competing risk model stratified by era was fitted using variables with p-values ≤0.15 by Gray’s test. In consideration of the pairing nature between the radiation group and the non-radiation group matched by propensity scores, the robust sandwich covariance formula was used together with the Fine and Gray subdistribution hazard model (27)

Furthermore, inverse probability treatment weighting (IPTW) was used on the entire population of eligible patients (n=122,362) before applying competing risk models to balance baseline covariates between the radiation groups for a safety check of the conclusions from the PSM method, which might lead to a significant reduction of sample size. The conclusions are the same between the bias-minimization approaches. The findings from the PSM are presented, while the results from the IPTW can be obtained upon request.

Results

A total of 122,362 patients (83,651 patients who received radiation and 38,711 patients who did not) were identified based on the above criteria (Figure 1). Propensity score matching resulted in 31,492 pairs of matched subjects. The imbalance in all the demographics included for propensity score matching except grade was greatly reduced between radiation groups (Table 1, Supplementary Figure 1). Characteristics of the matched and unmatched populations are summarized in Table 1.

Table 1

Before propensity score matching
(N= 122,362)
After propensity score matching
(N=62,984)
Radiation: NoRadiation: YesStandardized Mean Difference**Radiation: NoRadiation: YesStandardized Mean Difference**
n%n%n%n%
Surgery-0.751-0.638
No6,81017.642,64651.06,55020.815,69649.8
Yes31,90182.441,00549.024,94279.215,79650.2
Chemotherapy0.8760.852
No/Unknown36,47094.250,76360.729,29793.018,81159.7
Yes2,2415.832,88839.32,1957.012,68140.3
Race-0.076-0.075
Non-white5,42014.114,04216.84,54914.55,41617.2
White33,13585.969,47883.226,81685.526,02882.8
Sex*0.229-0.083
Male25,62566.263,99676.522,70172.121,50168.3
Female13,08633.819,65523.58,79127.99,99131.7
Marital Status*0.046-0.008
Married22,04757.049,55059.218,05957.317,92756.9
Unmarried16,66443.034,10140.813,43342.713,56543.1
Stage-0.660-0.254
Localized22,31157.622,31526.715,09247.911,18035.5
Regional16,40042.461,33673.316,40052.120,31264.5
Grade*0.3300.517
Low Grade25,39565.643,63152.219,50061.912,89340.9
High Grade6,69117.325,42630.46,48420.613,85044.0
Unknown6,62517.114,59417.45,50817.54,74915.1
Site0.6010.490
Tongue12,92733.418,96122.79,76631.09,85731.3
Salivary Gland7011.81,3261.66602.11,0093.2
Floor of Mouth5,12913.24,2955.129789.52,0386.5
Gum and Other Mouth6,60317.17,6959.2483515.43,28110.4
Nasopharynx1990.52,0762.51990.61,6505.2
Tonsil2,5566.616,05319.225568.14,66614.8
Oropharynx6831.82,6963.26832.21,6715.3
Hypopharynx1,3793.66,0787.313794.41,6375.2
Other Oral Cavity and Pharynx4631.21,6071.94631.59943.2
Nose, Nasal Cavity and Middle Ear1,3163.42,2062.612183.91,0593.4
Larynx6,75517.420,65824.7675521.43,63011.5
Treatment Era0.8760.852
2001-2015 (modern era)19,96751.644,42853.11617651.418,38058.4
1973-2000 (non-modern era)18,74448.439,22346.91531648.613,11241.6
Age*-0.162-0.156
20-39 years1,2673.32,1792.611903.81,6035.1
40-59 years13,80435.735,54535.71159436.813,55843.1
60-84 years21,52855.643,85455.61717454.515,12648.0
85+ years2,1125.52,0735.515344.91,2053.8
All38,71183,6513149231,492

Summary of baseline covariates and standardized mean difference between patients treated with radiation vs no radiation, before and after propensity score matching.

variables with * are used in propensity score matching. ** Standardized mean difference is the mean difference divided by the standard deviation. An absolute standardized mean difference less than or equal to 0.25 indicates good variable balance between radiation groups.

To minimize the selection bias for this cohort, propensity score matching was used before estimating radiation effect on stroke-related survival with competing risk events (death due to other reasons). Standardized mean differences (the mean difference divided by the standard deviation) were estimated before and after matching to evaluate the balance of covariates.

Given the multiple competing causes of death for this patient population, cause of death data were examined. The most common cause of death was cancer death (26.797 patients, 42.5% of deaths, either head and neck cancer or other cancer death), cardiac death (5,153 patients, 8.2% of deaths), and COPD (1,585 patients, 2.5% of deaths). Stroke death was listed as the cause of death for 1,104 (1.8%) of the patients (Supplementary Table 2). Notably, there were 3.6 cases of stroke death per 1000 person-years in the non-modern era and 1.9 in the modern era (Table 2). Interestingly, cases of cardiac, COPD, and pneumonia-related death also decreased in the modern era (Table 2).

Table 2

Modern eraNon-modern era
Cases (per 1000 person-years)Cases (per 1000 person-years)
Cause of death45.538.5
Head and neck cancer death
Other cancer death31.727.0
Cardiac death9.716.1
COPD3.44.7
Stroke death1.93.6
Pneumonia and influenza1.22.6
Suicide0.70.7
Other15.316.7
All109.4109.8

Cause of death table comparing cases (per 1000 person-years) of stroke death to other causes of death including head and neck cancer, other cancers, cardiac death, COPD, pneumonia and influenza, suicide, and other.

Rates are shown separately for the modern era and non-modern era. Cause of death was significantly different by era (p<0.0001).

The hazard of stroke death was compared in the matched cohorts (radiation vs. no radiation). This hazard was significantly increased for patients treated with radiation therapy (p = 0.006, HR 1.203, CI 2.053-1.373). The population was not matched based on receipt of chemotherapy or surgery; however, surgery was not associated with a change in hazard of stroke risk (p = 0.453), but chemotherapy was associated with a reduced hazard of stroke death (p = 0.003, HR = 0.737, CI 0.603-0.901).

The effect of demographic and tumor subsite information on stroke death risk was also examined (Table 3). Female sex (p = 0.002, HR 1.221, CI 1.074-1.388), age group (p <0.001, HR 0.111, CI 0.061-0.202) for age 20-39 vs. 85+, 0.302, CI 0.235-0.387 for 40-59 vs. 85+, 0.594, CI 0.473-0.746 for 60-84 vs. 85+), nasopharynx subsite (p = 0.025, HR 1.733, CI 1.072-2.801) were significantly associated with hazard of stroke death. There was no significant association between treatment with surgery, race, county level income, stage, grade, county level percentage with less than high school education level, marital status, or other sites and hazard of stroke death.

Table 3

ParameterComparison GroupHazard Ratio (95% Confidence Interval)Pr > ChiSq
RadiationYes vs No1.203 (1.053-1.373)0.006
SurgeryYes vs No1.055 (0.917-1.214)0.453
ChemotherapyYes vs No0.737 (0.603-0.901)0.003
Marital statusOther vs married0.885 (0.780-1.004)0.058
RaceNon-white vs white1.016 (0.855-1.206)0.859
SexFemale vs male1.221 (1.074-1.388)0.002
Cancer stageLocalized vs Regional1.032 (0.906-1.175)0.634
Histologic gradeHigh Grade vs Low Grade0.848 (0.727-0.988)0.105
Age
20-39 yearsvs age 85 or greater0.111 (0.061-0.202)<.0001
40-59 yearsvs age 85 or greater0.302 (0.235-0.387)<.0001
60-84 yearsvs age 85 or greater0.594 (0.473-0.746)<.0001
Median income (county)1.000 (0.994-1.007)0.931
Percent not completing high school (county)0.990 (0.979-1.001)0.077
Head and neck cancer subsite
Floor of Mouthvs other subsites1.191 (.0770-1.843)0.432
Gum and othervs other subsites1.302 (0.854-1.986)0.221
Hypopharynxvs other subsites0.668 (0.397-1.124)0.128
Nasopharynxvs other subsites1.733 (1.072-2.801)0.025
Oropharynxvs other subsites1.174 (.0702-1.962)0.541
Salivary glandvs other subsites1.149 (0.671-1.967)0.613
Tonguevs other subsites1.053 (0.694-1.598)0.809
Tonsilvs other subsites1.160 (0.735-1.831)0.524
Larynxvs other subsites1.332 (0.883-2.010)0.172
Nose, Nasal Cavity, and Middle Earvs other subsites1.462 (0.889-2.405)0.135

Subdistribution Hazard ratio of Stroke Death from the Fine and Gray competing risk model.

The impact of radiotherapy on stroke death was compared for patients diagnosed between 1973 and 2000 (non-modern era, prior to contemporary radiation techniques, modern stroke care, and the increase in HPV-mediated cancers) and 2001 and 2015 (modern era). In the propensity-matched dataset, there were 817 incidences of stroke death between 1973 and 2000 and 287 between 2001 and 2015. The cumulative incidence function (CIF) of stroke death was found to be reduced in the modern era. However, for both eras, there was a significant increase in cumulative incidence of stroke death with radiation treatment (Figure 2), with CIF at 10 years being 0.009 (0.006, 0.013), 0.011 (0.008, 0.015), 0.013 (0.009, 0.017) and 0.015 (0.011, 0.020) for patients with no radiation and radiation in the modern era and with no radiation and radiation in the non-modern era, respectively, holding other variables constant. Diagnosis in the modern era significantly affected CIF by Gray’s test (p<0.001). However, it was included in the Fine and Gray competing risk model as a stratum since the proportional hazards assumption might not be appropriate due to modern radiation techniques, stroke care, and shifts in the head and neck population.

Figure 2

Discussion

Based on propensity score matched competing risk analysis, our study showed that the hazard of stroke death was increased for patients who received radiation treatment for head and neck cancer. Other findings include nasopharyngeal cancer, larynx cancer, female sex, and treatment without chemotherapy as factors associated with greater hazards of stroke death.

Prior studies, including large population-based databases such as the Ontario Cancer Registry, have consistently shown an increased risk of stroke associated with head and neck radiotherapy (8, 9, 12, 15, 2830). A recent meta-analysis found an increased risk of stroke in patients who received radiation therapy for cancer, with a relative risk of 2.09 (30). Cheng et al. performed carotid duplex imaging on 240 patients treated with head and neck radiation after a median follow-up of 6 years and found significant stenosis in 28 patients compared to 0 of 108 controls. Their multivariate analysis suggested that age >60 years, the interval from radiotherapy >5 years, and radiotherapy for either nasopharyngeal or laryngeal cancer were independent risk factors for developing significant stenosis (31)

While stroke risk is consistently increased, there are far fewer studies evaluating the impact of this risk of stroke on mortality. Stroke death is an important endpoint. While strokes can vary in severity and impact on quality of life, death is a concrete binary endpoint representing the most severe consequence of stroke. Swisher-McClure et al. demonstrated that patients with early-stage glottic cancer receiving radiation therapy have a higher risk of stroke death than those who underwent surgery alone (32). Notably, this study did not utilize propensity score matching to reduce effects from confounding factors to reduce selection bias, as healthier patients may be selected to undergo surgery and would also be less likely to die from stroke. As in our study, Chu et al. (8) demonstrated a greater risk of death from stroke in patients with nasopharyngeal cancer, which may reflect the standard practice of bilateral neck radiation for nasopharyngeal cancer. Our results show that while radiotherapy significantly increases the risk of stroke death in patients with head and neck cancer, the absolute risk among all patients is small (1.8%). By comparison, 42.5% of the head and neck patients in this analysis died of either head and neck cancer or another cancer (Supplementary Table 2).

In this cohort, cases of stroke death per 1000 person-years were reduced from 3.6 to 1.9 (a reduction of 47.2%) in the modern era. The hazard of stroke death also lower in the modern era. There are likely multiple reasons for these results. This may reflect some reduction in carotid dose exposure using modern radiation planning techniques such as IMRT and (more recently) image guidance and proton therapy. Long-term outcomes from Gupta et al. showed stroke toxicity only with 3D conformal radiotherapy (4). While historically, the carotid artery has not been contoured as an “object at risk” (OAR) to be spared using IMRT, more conformal radiotherapy delivery with IMRT coupled with the better ability to minimize hot spots using IMRT may decrease risks. Studies of carotid artery dosimetry with IMRT versus 3D plans have been limited to early glottic cancer, and further studies on how carotid artery dosimetry impact stroke risk are warranted. Further, with increasing awareness of long-term toxicities and use of IMRT, there has been a shift in practice towards unilateral treatment of cervical lymph nodes in some primary sites such as small well-lateralized tonsillar cancers, which could potentially reduce risk of stroke death. Additionally, the rising prevalence of HPV-related head and neck cancers may impact this finding (19). Smoking has been associated with higher risk of post-radiation carotid stenosis (17), and non-smokers with HPV-mediated cancers may not have the same increase in stroke-related death after radiation. Finally, major improvements in stroke care have occurred, particularly with the use of recombinant tissue plasminogen activator (tPA) in 1995 (22).

Also of note, patients treated in the modern era experienced less cardiac death, COPD-related death, and death from pneumonia with a reduction of 39.8%, 27.7%, and 53.8%, respectively (Table 2). This potentially reflects improvements in cancer care, better management of sequelae of head and neck cancer treatment, and changes in the head and neck population with higher prevalence of HPV-mediated cancers (18, 19). Patients with HPV-mediated cancers may have little or no smoking history (19); a reduction in smoking may at least partially account for the reduction in COPD, pneumonia, and cardiac death seen in the modern era, although modern treatments may be a factor as well.

The association of female sex with an increased hazard of stroke death in our study was unexpected as general population-based studies have shown that women experience more severe strokes but are less likely to die from stroke (33). Moreover, a small study showed that women were less likely to develop carotid stenosis after radiation therapy (34). More study is needed to understand the role of female sex in this outcome and whether this is related to systematic treatment or follow-up differences.

The lower risk of stroke death among patients who received chemotherapy may be attributable to radiation dose escalation or altered fractionation schedules in patients undergoing radiotherapy alone or possibly is a spurious finding attributable to confounding factors impacting patients selected to undergo chemotherapy or the under-reporting of chemotherapy use in SEER registries. A recent publication comparing SEER data with SEER-Medicare data reported that overall sensitivity was only 68% for SEER chemotherapy data (35). Other publications have reported that stroke risk is highest in patients with head and neck cancer who receive both chemotherapy and radiation. Additionally, chemotherapy is typically reserved for patients with better functional status and fewer comorbidities; the data on comorbidities within SEER are very limited. The presence of chemotherapy may also predict more aggressive disease and therefore death from cancer rather than death from stroke, especially in the modern era when concurrent chemoradiation is often given to HPV positive oropharyngeal patients, a population with lower rates of stroke risk factors like smoking. Finally, while we used a propensity score-matched population, patients were matched based on whether they received radiation, which may not have addressed confounding associated with chemotherapy use.

Strengths of the current study include the large, geographically diverse patient population representative of the US population, using a well-established and high-quality registry database. We also carefully designed this study and used appropriate methodology to control for potential sources of bias impacting stroke death through propensity score matching. Our results being derived from a large patient database with extended follow-up is essential given that stroke is a relatively uncommon consequence after treatment for head and neck cancer and may manifest many years after treatment, making it challenging to assess prospectively, particularly at single institutions.

Limitations of our study include its retrospective nature and the presence of unmeasured confounding factors that are not available in this SEER dataset, such as performance status, comorbidity index, smoking history, HPV status, which could correlate with head and neck cancer in non-smokers, and other factors. Other limitations include the lack of data on radiation dose and fields, particularly exposure of the carotid and intracranial vessels. Lastly, the SEER registries only allow tabulation of death from stroke and not the incidence of stroke. Certainly, the stroke rate would be much higher than the reported deaths from stroke, and patients who develop stroke may die from causes related to stroke but attributed to other causes in the death certificates.

Cerebrovascular complications from radiotherapy have been expected to rise over time due to cancer therapy advancements leading to longer patient survival times (29). However, modern radiation techniques, stroke treatments, and shifts in the head and neck patient population to include more HPV-mediated cancers will likely reduce the incidence of stroke death. This is particularly important given the improved prognosis seen in patients with HPV-mediated cancers (36). Our results suggest that while appropriate late effect surveillance and continued efforts to minimize radiation dose exposure to the carotids without compromising oncologic outcomes are important, the risk of stroke mortality is extremely low and this is important in understanding the long-term impact and benefits to patients with head and neck cancer receiving radiotherapy.

Statements

Data availability statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.

Ethics statement

Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.

Author contributions

SJH, MM, MJ: Conceptualization. SJH: Data curation and original draft writing. HY, SB: Statistical analysis. SJH, SB, HY, AW, AG, MC, HZ, DS, YC, NM, MJ, MM: Manuscript review and editing. All authors contributed to the article and approved the submitted version.

Acknowledgments

The authors wish to thank Mrs. Laura Finger for editorial assistance.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2023.1111764/full#supplementary-material

Supplementary Figure 1

Standardized mean differences in stage, marital status, sex, race, age, and primary tumor site between patients treated with RT vs no RT before matching and after matching, demonstrating reduction in baseline covariates with propensity score matching. To minimize the selection bias for this cohort, propensity score matching was used before estimating radiation effect on stroke-related survival with competing risk events (death due to other reasons). Standardized mean differences (the mean difference divided by the standard deviation) were estimated before and after matching to evaluate the balance of covariates; an absolute standardized mean difference less than or equal to 0.25 indicates good variable balance between radiation groups.

References

  • 1

    Organization. IAfRoCWH. Global cancer observatory . Available at: https://gco.iarc.fr/.

  • 2

    SiegelRLMillerKDFuchsHEJemalA. Cancer statistics, 2021. CA Cancer J Clin (2021) 71(1):733. doi: 10.3322/caac.21654

  • 3

    WinquistEAgbassiCMeyersBMYooJChanKKW. Systemic therapy in the curative treatment of head and neck squamous cell cancer: a systematic review. J Otolaryngol Head Neck Surg (2017) 46(1):29. doi: 10.1186/s40463-017-0199-x

  • 4

    GuptaTKannanSGhosh-LaskarSAgarwalJP. Systematic review and meta-analysis of conventionally fractionated concurrent chemoradiotherapy versus altered fractionation radiotherapy alone in the definitive management of locoregionally advanced head and neck squamous cell carcinoma. Clin Oncol (R Coll Radiol). (2016) 28(1):5061. doi: 10.1016/j.clon.2015.09.002

  • 5

    ForastiereAAZhangQWeberRSMaorMHGoepfertHPajakTFet al. Long-term results of RTOG 91-11: a comparison of three nonsurgical treatment strategies to preserve the larynx in patients with locally advanced larynx cancer. J Clin Oncol (2013) 31(7):845–52. doi: 10.1200/JCO.2012.43.6097

  • 6

    PignonJPle MaîtreAMaillardEBourhisJ. Meta-analysis of chemotherapy in head and neck cancer (MACH-NC): an update on 93 randomised trials and 17,346 patients. Radiother Oncol (2009) 92(1):414. doi: 10.1016/j.radonc.2009.04.014

  • 7

    LacasBCarmelALandaisCWongSJLicitraLTobiasJSet al. Meta-analysis of chemotherapy in head and neck cancer (MACH-NC): an update on 107 randomized trials and 19,805 patients, on behalf of MACH-NC group. Radiother Oncol (2021) 156:281–93. doi: 10.1016/j.radonc.2021.01.013

  • 8

    ChuCNChenSWBaiLYMouCHHsuCYSungFC. Increase in stroke risk in patients with head and neck cancer: a retrospective cohort study. Br J Cancer. (2011) 105(9):1419–23. doi: 10.1038/bjc.2011.361

  • 9

    DorresteijnLDKappelleACBoogerdWKlokmanWJBalmAJKeusRBet al. Increased risk of ischemic stroke after radiotherapy on the neck in patients younger than 60 years. J Clin Oncol (2002) 20(1):282–8. doi: 10.1200/JCO.2002.20.1.282

  • 10

    HaynesJCMachtayMWeberRSWeinsteinGSChalianAARosenthalDI. Relative risk of stroke in head and neck carcinoma patients treated with external cervical irradiation. Laryngoscope (2002) 112(10):1883–7. doi: 10.1097/00005537-200210000-00034

  • 11

    BowersDCMcNeilDELiuYYasuiYStovallMGurneyJGet al. Stroke as a late treatment effect of hodgkin’s disease: a report from the childhood cancer survivor study. J Clin Oncol (2005) 23(27):6508–15. doi: 10.1200/JCO.2005.15.107

  • 12

    ScottASParrLAJohnstonePA. Risk of cerebrovascular events after neck and supraclavicular radiotherapy: a systematic review. Radiother Oncol (2009) 90(2):163–5. doi: 10.1016/j.radonc.2008.12.019

  • 13

    XuJCaoY. Radiation-induced carotid artery stenosis: a comprehensive review of the literature. Interv Neurol (2014) 2(4):183–92. doi: 10.1159/000363068

  • 14

    DonkorES. Stroke in the 21(st) century: a snapshot of the burden, epidemiology, and quality of life. Stroke Res Treat (2018) 2018:3238165. doi: 10.1155/2018/3238165

  • 15

    van AkenESMvan der LaanHPBijlHPVan den BoschLvan den HoekJGMDietersMet al. Risk of ischaemic cerebrovascular events in head and neck cancer patients is associated with carotid artery radiation dose. Radiother Oncol (2021) 157:182–7. doi: 10.1016/j.radonc.2021.01.026

  • 16

    ZumstegZSRiazNJafferySHuMGelblumDZhouYet al. Carotid sparing intensity-modulated radiation therapy achieves comparable locoregional control to conventional radiotherapy in T1-2N0 laryngeal carcinoma. Oral Oncol (2015) 51(7):716–23. doi: 10.1016/j.oraloncology.2015.02.003

  • 17

    ChengSWTingACLamLKWeiWI. Carotid stenosis after radiotherapy for nasopharyngeal carcinoma. Arch Otolaryngol Head Neck Surg (2000) 126(4):517–21. doi: 10.1001/archotol.126.4.517

  • 18

  • 19

    PytyniaKBDahlstromKRSturgisEM. Epidemiology of HPV-associated oropharyngeal cancer. Oral Oncol (2014) 50(5):380–6. doi: 10.1016/j.oraloncology.2013.12.019

  • 20

    Surveillance, Epidemiology, and End Results. (SEER) program appendix b. SEER. Available at: https://www.epa.gov/sites/default/files/2015-06/documents/aceappendixb_surveillanceepidemiologyandendresults.pdf.

  • 21

    MellLKRoeskeJCMundtAJ. A survey of intensity-modulated radiation therapy use in the united states. Cancer (2003) 98(1):204–11. doi: 10.1002/cncr.11489

  • 22

    LeesKRBluhmkiEvon KummerRBrottTGToniDGrottaJCet al. Time to treatment with intravenous alteplase and outcome in stroke: an updated pooled analysis of ECASS, ATLANTIS, NINDS, and EPITHET trials. Lancet (2010) 375(9727):1695–703. doi: 10.1016/S0140-6736(10)60491-6

  • 23

    AustinPC. Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies. Pharm statistics. (2011) 10(2):150–61. doi: 10.1002/pst.433

  • 24

    RubinDB. Using propensity scores to help design observational studies: application to the tobacco litigation. Health Serv Outcomes Res Methodology. (2001) 2(3):169–88. doi: 10.1023/A:1020363010465

  • 25

    StuartEA. Matching methods for causal inference: a review and a look forward. Stat Science. (2010) 25(1):121. doi: 10.1214/09-STS313

  • 26

    GrayRJ. A class of K-sample tests for comparing the cumulative incidence of a competing risk. Ann Stat (1988) 16:1141–54. doi: 10.1214/aos/1176350951

  • 27

    ZhouBFineJLatoucheALabopinM. Competing risks regression for clustered data. Biostatistics (2012) 13(3):371–83. doi: 10.1093/biostatistics/kxr032

  • 28

    ArthursEHannaTPZazaKPengYHallSF. Stroke after radiation therapy for head and neck cancer: what is the risk? Int J Radiat Oncol Biol Phys (2016) 96(3):589–96. doi: 10.1016/j.ijrobp.2016.07.007

  • 29

    PlummerCHendersonRDO’SullivanJDReadSJ. Ischemic stroke and transient ischemic attack after head and neck radiotherapy: a review. Stroke (2011) 42(9):2410–8. doi: 10.1161/STROKEAHA.111.615203

  • 30

    HuangRZhouYHuSRenGCuiFZhouP-K. Radiotherapy exposure in cancer patients and subsequent risk of stroke: a systematic review and meta-analysis. Front Neurol (2019) 10. doi: 10.3389/fneur.2019.00233

  • 31

    ChengSWWuLLTingACLauHLamLKWeiWI. Irradiation-induced extracranial carotid stenosis in patients with head and neck malignancies. Am J Surg (1999) 178(4):323–8. doi: 10.1016/S0002-9610(99)00184-1

  • 32

    Swisher-McClureSMitraNLinAAhnPWanFO’MalleyBet al. Risk of fatal cerebrovascular accidents after external beam radiation therapy for early-stage glottic laryngeal cancer. Head Neck. (2014) 36(5):611–6. doi: 10.1002/hed.23342

  • 33

    DehlendorffCAndersenKKOlsenTS. Sex disparities in stroke: women have more severe strokes but better survival than men. J Am Heart Assoc (2015) 4(7):6–13. doi: 10.1161/JAHA.115.001967

  • 34

    YangYYangWWangTJ. Gender difference in radiotherapy-induced carotid stenosis. J Biol Regul Homeost Agents. (2017) 31(3):631–7.

  • 35

    NooneAMLundJLMariottoACroninKMcNeelTDeapenDet al. Comparison of SEER treatment data with Medicare claims. Med Care (2016) 54(9):e55–64. doi: 10.1097/MLR.0000000000000073

  • 36

    SabatiniMEChioccaS. Human papillomavirus as a driver of head and neck cancers. Br J Cancer. (2020) 122(3):306–14. doi: 10.1038/s41416-019-0602-7

Summary

Keywords

head and neck (H&N) cancer, IMRT, radiotherapy, stroke, SEER, cause of death

Citation

Hardy SJ, Bandyopadhyay S, Yang H, Williams A, Gudina A, Cummings MA, Zhang H, Singh DP, Chen Y, Mohile NA, Janelsins MC and Milano MT (2023) Stroke death in patients receiving radiation for head and neck cancer in the modern era. Front. Oncol. 13:1111764. doi: 10.3389/fonc.2023.1111764

Received

30 November 2022

Accepted

30 May 2023

Published

15 June 2023

Volume

13 - 2023

Edited by

Takumi Kumai, Asahikawa Medical University, Japan

Reviewed by

Stefano Vagge, Ente Ospedaliero Ospedali Galliera, Italy; Carryn Marie Anderson, The University of Iowa, United States

Updates

Copyright

*Correspondence: Sara J. Hardy,

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Outline

Figures

Cite article

Copy to clipboard


Export citation file


Share article

Article metrics